Applied Engineer β’ Product Thinker β’ Data Analysis
I like data-driven tech and tech that drives better data. Learning how data translates to sustainable value. I like clean documentation and automating manual tasks.
Currently, worked as an AI Product & Data Analyst in the Founderβs Office - Sharpsell:
- Build LLM-driven workflows
- Automated AI pipelines for auditing.
- Evals, Guardrails, Testset for voicebots
- ML model for transcript analysis
In my own time, I research Scientific ML, Astronomy, Quantum Computing, and computational approaches to complex systems.
- π 2 peer-reviewed publications
- π€ 4+ conference presentations
I approach problems through first principles, statistical rigour, and long-term systems thinking.
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π DocuWrite
AI-powered document generation system with modular LLM orchestration & structured prompt pipelines.
π https://github.com/vanshaj18/DocuWrite
π Lalika (Data Chatbot)
Streamlit-based intelligent data assistant enabling natural language interaction over structured datasets using LLM + retrieval workflows.
π https://github.com/vanshaj18/streamlit_data_chatbot
π€ Agent Meeting Helper
Agentic meeting automation system for summarisation, action extraction, and structured memory-aware workflows.
π https://github.com/vanshaj18/agentic_meeting_helper
π AI Resume Analyser
Automated resume evaluation tool using NLP pipelines for structured scoring, keyword extraction, and feedback generation.
π https://github.com/vanshaj18/AI-Resume-Analyzer
